Russian Characteristic Medicinal Plant Resources Based on DNA Barcode Technology
10.13422/j.cnki.syfjx.20200211
- VernacularTitle:基于DNA条形码技术的俄罗斯特色药用植物资源调查
- Author:
Ling-long LUO
1
;
Chi ZHANG
1
;
Bo DENG
1
;
Bao-sheng ZHAO
2
;
Yao-sheng ZHANG
3
;
Yuan-yang SHAO
1
;
Xiao-yan JIN
1
;
Xue-yong WANG
1
Author Information
1. School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China
2. Beijing Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
3. Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
- Publication Type:Research Article
- Keywords:
medicinal plants;
internal transcribed spacer sequence;
DNA barcode;
National Center for Biotechnology Information Database
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2020;26(2):175-180
- CountryChina
- Language:Chinese
-
Abstract:
Objective::To investigate the distribution status of medicinal plants in the wild areas of Russian Caucasus and Altai, and clarify the types and efficacy information of medicinal plants in the area, so as to dig deep into new resources and new functions of medicinal plants in the countries along the Belt and Road. Method::Medicinal plants in the wild were searched and collected to make waxy specimens, and sent back to the country to extract the total DNA of the leaves of the leaves. Internal Transcribed Spacer(ITS)sequence universal primers were used for Polymerase Chain Reaction (PCR)amplification. The PCR products were sent for the two-way sequencing, and the sequencing results are spliced by software according to National Center for Biotechnology Information(NCBI). The same ITS sequence of the highest similarity species obtained by database BLAST was analyzed by DNAman software to identify the ITS sequence of the species and the ITS sequence of the same species. The MEGA 7 software was used as the phylogenetic tree, and the Kimura-2 parameter genetic distance was used to construct the neighbor joining(NJ) phylogenetic tree by the neighbor-joining method. The confidence of each branch of the development tree was tested by the bootstrap test method. A total of 2 000 cycles were performed, and the results were identified based on the clustering results. On this basis, the key medicinal plants in the Russian Caucasus and Altay wild areas were summarized and analyzed. Result::After BLAST alignment in NCBI database, the ITS sequences of each specimen were clustered with the login sequences on the NCBI database, which were separated from the outer group. The species classification of the specimens to be identified was determined by combining the characteristics of the specimens. A total of 51 plants were identified from the specimens collected in the field, covering 44 genera of 17 families, and 29 plants had clear efficacy records. The National Drug List of the Russian Federation and the Chinese Pharmacopoeia were retrieved to summarize commonly used medicinal plants in China and conclude that 20 kinds of Chinese and Russian common medicinal materials have different medicinal effects in local areas. This study has a reference significance for expanding the scope and clinical experience of traditional Chinese medicines, and provides a basis for strengthened local species conservation, development and utilization of wild medicinal plant resources.
